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qwen3-next-80b-a3b-thinking

dashscope · chat model

qwen3-next-80b-a3b-thinking is listed here as a chat model from dashscope. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1500 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
65.5K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$0.1500 / 1M tokens
Output
$1.2000 / 1M tokens
Embedding
$0.1500 / 1M tokens

Token limits

Context window
65.5K
Max input tokens
262.1K
Max output tokens
65.5K
Max tokens
65.5K

Capabilities

Capability Supported
Vision —
Function calling ✅
Parallel function calling —
Tool choice ✅
Prompt caching —
Reasoning ✅
Response schema —
System messages —
Audio input —
Audio output —
Web search —
PDF input —
Video input —

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
MMLU-Pro 80.6 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
MMLU-Redux 90.9 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
GPQA 72.9 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
SuperGPQA 58.8 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
AIME 2025 69.5 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
HMMT25 54.1 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
LiveBench 20241125 75.8 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
LiveCodeBench v6 56.6 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
MultiPL-E 87.8 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
Aider Polyglot 49.8 score Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link
RULER 1M 91.8 Acc avg Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Docs

Official docs

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
qwen3-next-80b-a3b-thinking
dashscope
In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
65.5K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
qwen.qwen3-coder-480b-a35b-v1:0
bedrock_converse
In $0.2200 / 1M tokens
Out $1.8000 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
65.5K
Partial I/O overlap
Overall 53%
qwen3-next-80b-a3b-instruct
dashscope
In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choice
65.5K
Same provider
Overall 52%
minimax-m2.1
OpenRouter
In $0.2700 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
64.0K
Partial I/O overlap
Overall 49%
minimax-m2.5
OpenRouter
In $0.3000 / 1M tokens
Out $1.1000 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
65.5K
Partial I/O overlap
Overall 48%
openai.gpt-oss-safeguard-120b
bedrock_mantle
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
65.5K
Partial I/O overlap
Overall 48%
MiniMax-M2.7
sambanova
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
131.1K
Partial I/O overlap
Overall 48%
qwen.qwen3-coder-30b-a3b-v1:0
bedrock_converse
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
131.1K
Partial I/O overlap
Overall 47%
qwen.qwen3-32b-v1:0
bedrock_converse
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Partial I/O overlap
Overall 43%
qwen-plus
dashscope
In $0.4000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Same provider
Overall 43%
qwen-plus-2025-04-28
dashscope
In $0.4000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Same provider
Overall 43%
qwen-plus-2025-07-14
dashscope
In $0.4000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Same provider
Overall 43%
qwen-coder
dashscope
In $0.3000 / 1M tokens
Out $1.5000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
16.4K
Same provider
Overall 42%
qwen-plus-2025-01-25
dashscope
In $0.4000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choiceReasoning
8.2K
Same provider
Overall 41%
qwen3-next-80b-a3b-instruct-maas
vertex_ai-qwen_models
In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choice
262.1K
Partial I/O overlap
Overall 40%
qwen3-next-80b-a3b-thinking-maas
vertex_ai-qwen_models
In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choice
262.1K
Partial I/O overlap
Overall 40%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 39%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 39%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 39%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 39%
deepseek.v3.2
Bedrock
In $0.7400 / 1M tokens
Out $2.2200 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
163.8K
Partial I/O overlap
Overall 39%
Phi-4-reasoning
azure_ai
In $0.1250 / 1M tokens
Out $0.5000 / 1M tokens
text
Output: text
Function callingTool choiceReasoning
4.1K
Partial I/O overlap
Overall 38%
gpt-5.4-nano
azure_ai
In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
imagepdf
Output: text
Function callingTool choiceReasoning
128.0K
Partial I/O overlap
Overall 32%
gpt-5.4-nano-2026-03-17
azure_ai
In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
imagepdf
Output: text
Function callingTool choiceReasoning
128.0K
Partial I/O overlap
Overall 32%
qwen.qwen3-next-80b-a3b
bedrock_converse
In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function calling
8.2K
Partial I/O overlap
Overall 28%